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Synaptic plasticity in a memristive device below 500 mV
S. R. Nandakumar
, Bipin Rajendran
Electrical and Computer Engineering
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Chapter in Book/Report/Conference proceeding
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Conference contribution
1
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Computer Science
Mobile Platform
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Neural Network
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Hardware Platform
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Machine Learning Algorithm
100%
Non-Volatile Memory
100%
Memory Technology
100%
Widespread Adoption
100%
Information Processing System
100%
Requirement Specification
100%
Target Specification
100%
Learning System
100%
Silicon Dioxide
100%
Keyphrases
Synaptic Plasticity
100%
Memristive Devices
100%
Biomimetic
33%
Cognitive Task
33%
Large-scale Networks
33%
Machine Learning Algorithms
33%
Mobile Platform
33%
Third Generation
33%
Spiking Neural Networks
33%
Learning-based
33%
On chip
33%
Hardware Platform
33%
Nanoscale Devices
33%
Nonvolatile Memory Technologies
33%
Network Size
33%
Phase Change Random Access Memory (PCRAM)
33%
Dependent Data
33%
Embedded Nonvolatile Memory (eNVM)
33%
Training Time
33%
Real-time Learning
33%
Cu-SiO2
33%
Information Processing System
33%
Information Generation
33%
Chalcogenides
33%
User-dependent
33%
Widespread Adoption
33%
Cognitive Learning Systems
33%
Neuroscience
Synaptic Plasticity
100%
Information Processing
50%
Face
50%
Machine Learning Algorithm
50%
Spiking Neural Network
50%